The Challenge
- The sales team was manually reviewing 200+ inbound leads per day, spending 4-5 hours per rep just on initial qualification. Leads were going cold because follow-up often came 24-48 hours after submission. The Salesforce CRM had rich data but no intelligence layer — reps had to open each record individually and make judgement calls without any context.
The Solution
- Built a custom Salesforce + AI integration that automatically scores and qualifies every inbound lead the moment it enters the CRM. The solution uses a combination of Salesforce Apex triggers, a Node.js middleware layer, and the OpenAI GPT-4 API. When a lead is created, the system pulls all available fields (company size, industry, job title, website, form message), enriches it with Clearbit data, then sends the full context to a custom prompt engineered to output a structured qualification score (1-10), a summary of why the lead is or isn't a fit, and a recommended next action. The output is written back to custom Salesforce fields and triggers automated workflows: hot leads (8+) get an immediate Slack alert to the assigned rep, warm leads (5-7) get queued into a 2-hour follow-up sequence, and cold leads are tagged for nurture automation.
Results
Sales team response time to hot leads dropped from 24-48 hours to under 15 minutes. Rep time spent on manual qualification dropped from 4-5 hours/day to under 30 minutes. Lead-to-meeting conversion rate improved by 34% in the first 60 days. The client estimated the system was saving ,000/month in rep productivity alone.
“Exceptional Salesforce + AI integration. Avnish understood both the technical requirements and the business context. The qualification system pays for itself every week.”— VP of Sales, B2B SaaS Company